Top Tech Jobs & Startup Jobs

Serve as a strategic post-sales advisor helping enterprise customers achieve business outcomes with Mimica. Build customer success plans, provide product support, interpret process intelligence outputs, identify improvement opportunities, and deliver actionable recommendations. Collaborate with Sales, Marketing, Solution Engineering, Partners, Product, Engineering, and Machine Learning teams. Drive onboarding, training, adoption, account expansion, stakeholder alignment, and customer feedback for roadmap development.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Own Tomo’s data function, strategy, roadmap, platform health, and cross-functional measurement. Build and lead teams spanning data science, analytics, business intelligence, and data engineering. Design experiments, marketing attribution models, SQL queries, and dbt models while maintaining reliable data infrastructure. Partner with Product, Engineering, and executives to improve instrumentation, translate business questions into insights, and establish scalable data processes.

Design and manage CAD models, revisions, and bills of materials for physical products manufactured in-house. Develop prototypes, apply design-for-manufacturing expertise, and support the transition from rapid development to production. Collaborate with hardware, robotics, software, and field operations teams while improving engineering collaboration and CAD standards.

Leads strategic pre-sales engagements for pricing technology solutions. Facilitates discovery and implementation workshops, translates business needs into requirements and functional designs, advises customers on pricing and transformation, develops estimates and proposals, negotiates Statements of Work, and partners with account executives, revenue teams, and solution architects. Builds executive stakeholder relationships and ensures smooth transition from sales to delivery.

Support C-suite executives with comprehensive calendar, meeting, event, travel, visa, expense, and credit-card coordination. Manage logistics, agendas, communications, expense reconciliation, and confidential information while anticipating executive needs. Create efficient workflows using AI and automation tools, adapt to changing priorities, and provide backup support to other executive assistants.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.

The Customer Success Manager will manage 25-40 accounts, focusing on onboarding, upselling, and ensuring customer satisfaction with a technical healthcare product.

Manage and grow a portfolio of mid-size and enterprise advertising measurement clients through adoption, renewals, expansions, business reviews, and ROI realization. Lead pricing, scoping, negotiations, and deal operations while partnering with Sales, Services, Product, Marketing, Support, and Onboarding. Use brand lift expertise to guide measurement strategies, mitigate churn, identify product improvements, and develop customer success plans, case studies, and engagement campaigns.

The Analytics Manager investigates business questions, delivers actionable insights, maintains data models and Looker dashboards, and communicates findings through presentations and visualizations. The role develops testing frameworks, subscription unit-economic models, marketing attribution, retention and cohort forecasts, and customer segmentation. It also partners with Product and Engineering to improve application tracking and customer behavior visibility.